Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2023-01-27 10:30:10	ga_s2bm_ard_3-2-1_54LWN_2023-01-27_final.stac-item
2023-01-27 10:30:24	ga_s2bm_ard_3-2-1_54LWM_2023-01-27_final.stac-item
2023-01-27 10:31:20	ga_s2bm_ard_3-2-1_54LWH_2023-01-27_final.stac-item
2023-01-27 10:31:29	ga_s2bm_ard_3-2-1_54LUH_2023-01-27_final.stac-item
2023-01-27 10:31:30	ga_s2bm_ard_3-2-1_54KWG_2023-01-27_final.stac-item
2023-01-27 10:31:47	ga_s2bm_ard_3-2-1_54KTG_2023-01-27_final.stac-item
2023-01-27 10:31:55	ga_s2bm_ard_3-2-1_54KVF_2023-01-27_final.stac-item
2023-01-27 10:32:09	ga_s2bm_ard_3-2-1_53KQA_2023-01-27_final.stac-item
2023-01-27 10:32:09	ga_s2bm_ard_3-2-1_54KVE_2023-01-27_final.stac-item
2023-01-27 10:32:13	ga_s2bm_ard_3-2-1_54KUE_2023-01-27_final.stac-item
2023-01-27 10:32:20	ga_s2bm_ard_3-2-1_53KQV_2023-01-27_final.stac-item
2023-01-27 10:32:25	ga_s2bm_ard_3-2-1_54KUD_2023-01-27_final.stac-item
2023-01-27 10:32:26	ga_s2bm_ard_3-2-1_54KTD_2023-01-27_final.stac-item
2023-01-27 10:32:28	ga_s2bm_ard_3-2-1_53KQU_2023-01-27_final.stac-item
2023-01-27 10:32:31	ga_s2bm_ard_3-2-1_54KUD_2023-01-27_final.stac-item
2023-01-27 10:32:33	ga_s2bm_ard_3-2-1_54KTD_2023-01-27_final.stac-item
2023-01-27 10:32:35	ga_s2bm_ard_3-2-1_53KQU_2023-01-27_final.stac-item
2023-01-27 10:32:41	ga_s2bm_ard_3-2-1_54KUC_2023-01-27_final.stac-item
2023-01-27 10:32:45	ga_s2bm_ard_3-2-1_54KTC_2023-01-27_final.stac-item
2023-01-27 10:32:46	ga_s2bm_ard_3-2-1_53KRT_2023-01-27_final.stac-item
2023-01-27 10:32:56	ga_s2bm_ard_3-2-1_54KUB_2023-01-27_final.stac-item
2023-01-27 10:33:00	ga_s2bm_ard_3-2-1_54KTB_2023-01-27_final.stac-item
2023-01-27 10:33:00	ga_s2bm_ard_3-2-1_53KRS_2023-01-27_final.stac-item
2023-01-27 10:33:10	ga_s2bm_ard_3-2-1_53KPS_2023-01-27_final.stac-item
2023-01-27 10:33:14	ga_s2bm_ard_3-2-1_53KRR_2023-01-27_final.stac-item
2023-01-27 10:33:18	ga_s2bm_ard_3-2-1_53KQR_2023-01-27_final.stac-item
2023-01-27 10:33:22	ga_s2bm_ard_3-2-1_53KPR_2023-01-27_final.stac-item
2023-01-27 10:33:25	ga_s2bm_ard_3-2-1_54KUV_2023-01-27_final.stac-item
2023-01-27 10:33:29	ga_s2bm_ard_3-2-1_53KRQ_2023-01-27_final.stac-item
2023-01-27 10:33:33	ga_s2bm_ard_3-2-1_53KQQ_2023-01-27_final.stac-item
2023-01-27 10:33:43	ga_s2bm_ard_3-2-1_54KTU_2023-01-27_final.stac-item
2023-01-27 10:33:43	ga_s2bm_ard_3-2-1_53KRP_2023-01-27_final.stac-item
2023-01-27 10:33:47	ga_s2bm_ard_3-2-1_53KQP_2023-01-27_final.stac-item
2023-01-27 10:33:50	ga_s2bm_ard_3-2-1_54JUT_2023-01-27_final.stac-item
2023-01-27 10:33:55	ga_s2bm_ard_3-2-1_54JTT_2023-01-27_final.stac-item
2023-01-27 10:33:57	ga_s2bm_ard_3-2-1_53JQN_2023-01-27_final.stac-item
2023-01-27 10:34:02	ga_s2bm_ard_3-2-1_54JTT_2023-01-27_final.stac-item
2023-01-27 10:34:04	ga_s2bm_ard_3-2-1_53JQN_2023-01-27_final.stac-item
2023-01-27 10:34:11	ga_s2bm_ard_3-2-1_53JNN_2023-01-27_final.stac-item
2023-01-27 10:34:12	ga_s2bm_ard_3-2-1_53JRM_2023-01-27_final.stac-item
2023-01-27 10:34:16	ga_s2bm_ard_3-2-1_53JQM_2023-01-27_final.stac-item
2023-01-27 10:34:30	ga_s2bm_ard_3-2-1_53JQL_2023-01-27_final.stac-item
2023-01-27 10:34:34	ga_s2bm_ard_3-2-1_53JPL_2023-01-27_final.stac-item
2023-01-27 10:34:42	ga_s2bm_ard_3-2-1_54JTQ_2023-01-27_final.stac-item
2023-01-27 10:34:45	ga_s2bm_ard_3-2-1_53JQK_2023-01-27_final.stac-item
2023-01-27 10:34:48	ga_s2bm_ard_3-2-1_53JPK_2023-01-27_final.stac-item
2023-01-27 10:34:52	ga_s2bm_ard_3-2-1_53JNK_2023-01-27_final.stac-item
2023-01-27 10:34:55	ga_s2bm_ard_3-2-1_54JTP_2023-01-27_final.stac-item
2023-01-27 10:35:03	ga_s2bm_ard_3-2-1_53JPJ_2023-01-27_final.stac-item
2023-01-27 10:35:07	ga_s2bm_ard_3-2-1_53JNJ_2023-01-27_final.stac-item
2023-01-27 10:35:13	ga_s2bm_ard_3-2-1_53JMJ_2023-01-27_final.stac-item
2023-01-27 10:35:25	ga_s2bm_ard_3-2-1_53JMH_2023-01-27_final.stac-item
2023-01-27 10:35:28	ga_s2bm_ard_3-2-1_53JQG_2023-01-27_final.stac-item
2023-01-27 10:35:39	ga_s2bm_ard_3-2-1_53JMG_2023-01-27_final.stac-item
2023-01-27 10:35:42	ga_s2bm_ard_3-2-1_53JQF_2023-01-27_final.stac-item
2023-01-27 10:35:46	ga_s2bm_ard_3-2-1_53JPF_2023-01-27_final.stac-item
2023-01-27 10:35:50	ga_s2bm_ard_3-2-1_53JNF_2023-01-27_final.stac-item
2023-01-27 10:35:53	ga_s2bm_ard_3-2-1_53JMF_2023-01-27_final.stac-item
2023-01-27 10:35:54	ga_s2bm_ard_3-2-1_53HQE_2023-01-27_final.stac-item
2023-01-27 10:36:01	ga_s2bm_ard_3-2-1_53HPE_2023-01-27_final.stac-item
2023-01-27 10:36:08	ga_s2bm_ard_3-2-1_53HME_2023-01-27_final.stac-item
2023-01-27 10:36:26	ga_s2bm_ard_3-2-1_53HLD_2023-01-27_final.stac-item
2023-01-27 10:36:44	ga_s2bm_ard_3-2-1_53HPB_2023-01-27_final.stac-item
2023-01-27 10:36:48	ga_s2bm_ard_3-2-1_53HNB_2023-01-27_final.stac-item
2023-01-27 10:36:57	ga_s2bm_ard_3-2-1_53HPA_2023-01-27_final.stac-item
2023-01-27 12:13:37	ga_s2bm_ard_3-2-1_50KKB_2023-01-27_final.stac-item
2023-01-27 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2023-01-27_final.stac-item
2023-01-27 12:14:05	ga_s2bm_ard_3-2-1_50KKV_2023-01-27_final.stac-item
2023-01-27 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2023-01-27_final.stac-item
2023-01-27 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2023-01-27_final.stac-item
2023-01-27 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2023-01-27_final.stac-item
2023-01-27 12:14:29	ga_s2bm_ard_3-2-1_49JHN_2023-01-27_final.stac-item
2023-01-27 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2023-01-27_final.stac-item
2023-01-27 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2023-01-27_final.stac-item
2023-01-27 12:15:18	ga_s2bm_ard_3-2-1_49JGK_2023-01-27_final.stac-item
2023-02-06 12:10:28	ga_s2bm_ard_3-2-1_50LMP_2023-02-06_nrt.stac-item
2023-02-06 12:13:27	ga_s2bm_ard_3-2-1_50KKC_2023-02-06_nrt.stac-item
2023-02-06 12:13:45	ga_s2bm_ard_3-2-1_49KFS_2023-02-06_nrt.stac-item
2023-02-06 12:13:59	ga_s2bm_ard_3-2-1_49KFR_2023-02-06_nrt.stac-item
2023-02-06 12:14:14	ga_s2bm_ard_3-2-1_49KFQ_2023-02-06_nrt.stac-item
2023-02-06 12:14:28	ga_s2bm_ard_3-2-1_49KFP_2023-02-06_nrt.stac-item
2023-02-06 12:15:20	ga_s2bm_ard_3-2-1_49JFK_2023-02-06_nrt.stac-item
2023-02-07 09:59:36	ga_s2bm_ard_3-2-1_55LHJ_2023-02-07_nrt.stac-item
2023-02-07 09:59:46	ga_s2bm_ard_3-2-1_55LHH_2023-02-07_nrt.stac-item
2023-02-07 10:01:45	ga_s2bm_ard_3-2-1_55KEA_2023-02-07_nrt.stac-item
2023-02-07 10:01:53	ga_s2bm_ard_3-2-1_55KFV_2023-02-07_nrt.stac-item
2023-02-07 10:07:44	ga_s2bm_ard_3-2-1_54HUC_2023-02-07_nrt.stac-item
2023-02-07 10:07:46	ga_s2bm_ard_3-2-1_54HXB_2023-02-07_nrt.stac-item
2023-02-07 11:40:22	ga_s2bm_ard_3-2-1_51LXJ_2023-02-07_nrt.stac-item
2023-02-07 11:40:37	ga_s2bm_ard_3-2-1_51LXH_2023-02-07_nrt.stac-item
2023-02-07 11:40:41	ga_s2bm_ard_3-2-1_51LWH_2023-02-07_nrt.stac-item
2023-02-07 11:41:10	ga_s2bm_ard_3-2-1_51LWF_2023-02-07_nrt.stac-item
2023-02-07 11:41:35	ga_s2bm_ard_3-2-1_51LTE_2023-02-07_nrt.stac-item
2023-02-07 11:41:42	ga_s2bm_ard_3-2-1_51LVD_2023-02-07_nrt.stac-item
2023-02-07 11:42:18	ga_s2bm_ard_3-2-1_51KTB_2023-02-07_nrt.stac-item
2023-02-07 11:42:18	ga_s2bm_ard_3-2-1_50KRG_2023-02-07_nrt.stac-item
2023-02-07 11:42:32	ga_s2bm_ard_3-2-1_51KTA_2023-02-07_nrt.stac-item
2023-02-07 11:42:33	ga_s2bm_ard_3-2-1_50KRF_2023-02-07_nrt.stac-item
2023-02-07 11:42:48	ga_s2bm_ard_3-2-1_50KRE_2023-02-07_nrt.stac-item
2023-02-07 11:47:32	ga_s2bm_ard_3-2-1_50HMF_2023-02-07_nrt.stac-item

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years